sh1gechan commited on
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939776e
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1 Parent(s): 96495f6

Update src/populate.py

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  1. src/populate.py +1 -5
src/populate.py CHANGED
@@ -16,9 +16,7 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
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  df = pd.DataFrame.from_records(all_data_json)
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- print(f"DataFrame before NaN filtering: {df}")
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- df['Model'] = df['Model'].apply(lambda x: x.split('/')[-1] if isinstance(x, str) and '/' in x else x)
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-
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  score_cols = [
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  'ALT E to J BLEU', 'ALT J to E BLEU', 'WikiCorpus E to J BLEU', 'WikiCorpus J to E BLEU',
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  'XL-Sum JA BLEU', 'XL-Sum ROUGE1', 'XL-Sum ROUGE2', 'XL-Sum ROUGE-Lsum'
@@ -36,8 +34,6 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
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  # filter out if any of the benchmarks have not been produced
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  df = df[has_no_nan_values(df, benchmark_cols)]
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- print(f"Final leaderboard DataFrame:\n{df.head()}")
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- print(f"DataFrame shape: {df.shape}")
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  return df
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  df = pd.DataFrame.from_records(all_data_json)
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+
 
 
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  score_cols = [
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  'ALT E to J BLEU', 'ALT J to E BLEU', 'WikiCorpus E to J BLEU', 'WikiCorpus J to E BLEU',
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  'XL-Sum JA BLEU', 'XL-Sum ROUGE1', 'XL-Sum ROUGE2', 'XL-Sum ROUGE-Lsum'
 
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  # filter out if any of the benchmarks have not been produced
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  df = df[has_no_nan_values(df, benchmark_cols)]
 
 
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  return df
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